4.8 Article

Mapping the in vivo fitness landscape of lung adenocarcinoma tumor suppression in mice

Journal

NATURE GENETICS
Volume 50, Issue 4, Pages 483-+

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41588-018-0083-2

Keywords

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Funding

  1. National Science Foundation Graduate Research Fellowship Program (GRFP)
  2. Stanford Graduate Fellowship
  3. NIH [F31CA210627, T32HG000044, E25CA180993, F32CA189659, R01CA175336, R01CA207133]
  4. Susan G. Komen for the Cure [PDF16377256]
  5. Stanford Cancer Institute [NIH P30CA124435]
  6. American Association for Cancer Research
  7. NATIONAL CANCER INSTITUTE [F31CA210627, F32CA189659, R25CA180993, P30CA124435, R01CA175336, R01CA207133] Funding Source: NIH RePORTER
  8. NATIONAL HUMAN GENOME RESEARCH INSTITUTE [T32HG000044] Funding Source: NIH RePORTER
  9. NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R35GM118165] Funding Source: NIH RePORTER

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The functional impact of most genomic alterations found in cancer, alone or in combination, remains largely unknown. Here we integrate tumor barcoding, CRISPR/Cas9-mediated genome editing and ultra-deep barcode sequencing to interrogate pairwise combinations of tumor suppressor alterations in autochthonous mouse models of human lung adenocarcinoma. We map the tumor suppressive effects of 31 common lung adenocarcinoma genotypes and identify a landscape of context dependence and differential effect strengths.

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